Five Steps to Offload Your Data Warehouse with Hadoop

A Quick-Start Guide to Free Up Your Data Warehouse and Budget

According to Gartner, nearly 70% of all data warehouses are performance and capacity constrained so it’s no surprise that total cost of ownership is the number one challenge most organizations face with their data integration tools.

Meanwhile, data volumes continue to grow. With no end in sight to the digital explosion, organizations are looking at Hadoop to collect, process, and distribute the ever-expanding data avalanche.

This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges and learn best practices for freeing up your EDW to do the work it was meant to do – provide the insights you need through high-performance analytics and fast user queries.